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Record W4411245844 · doi:10.1177/23996544251351450

Caring beyond mandate: The contribution of community organizations

2025· article· en· W4411245844 on OpenAlexafffundabout
Elizabeth Nelson

Bibliographic record

VenueEnvironment and Planning C Politics and Space · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMandatePolitical scienceSociologyPublic relationsPublic administrationLaw

Abstract

fetched live from OpenAlex

Community organizations perform essential care services that are key to maintaining the well-being and survival of their communities. Often, the care work they undertake benefits underserved urban populations. The labor of these organizations and the support they provide may be underrecognized by municipalities that do not understand their role within the community service landscape, and who do not offer sufficient support for these groups to function securely. The entrenched neoliberal and hegemonic structures characteristic of Canadian municipalities contribute to a structural neglect that places community organizations, and by extension the individuals they serve, in precarity. This hinders the functioning of these collectives and the caring labor they undertake. Drawing on research conducted with community organizations in Cornwall, Kingston, and Ottawa, Ontario, this article highlights the importance of recognizing the care work of community organizations. It posits the benefit that municipal support systems might gain by supporting them in their critical care work to better meet the diverse needs of their communities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.340
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes3
Has abstractyes

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